Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jerpint/woltspace --skill creaturesgit clone --depth 1 https://github.com/jerpint/woltspaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jerpint/woltspace/creatures)<a href="https://agentmods.dev/skills/jerpint/woltspace/creatures"><img src="https://agentmods.dev/badge/skills/jerpint/woltspace/creatures/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jerpint/woltspace/creatures"><img src="https://agentmods.dev/badge/skills/jerpint/woltspace/creatures.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00059 | $0.00800 |
| Opus 5.5 | $0.00024 | $0.00320 |
| Sonnet 5.5 | $0.00012 | $0.00160 |
| Haiku 4.5 | $0.00006 | $0.00080 |
Grade A, and why
creatures scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 14d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creatures: register one, or change a wolt's
The lodge has three sizes: 🦦 otter (quick), 🦫 beaver (builder) and 🦝 raccoon (thinker). A custom creature is a new identity on one of them: its own name and emoji, optionally its own model per engine and a default role. It behaves exactly like its size: the same site, tier and lore. Only the name and emoji change, everywhere the lodge shows a wolt (Telegram, Slack, the lodge, the TUI, its site).
Custom creatures live in the lodge's settings. Change them only with the
commands below, never by editing woltspace.json or a wolt.json by hand.
Always confirm first
Before you register, remove or assign a creature, tell the user exactly what will change and wait for a yes. That includes changing your own creature. For example:
I'll register ⭐ star (raccoon-sized, codex model gpt-6-astra) and make alpha a star. Its next session will show ⭐; this session stays as it is. Go?
Commands
woltspace creature list # the sizes and the lodge's custom creatures
woltspace creature add star --emoji ⭐ --size raccoon \
--model codex=gpt-6-astra --role "Reviewer and planner"
woltspace creature assign alpha star # change a wolt's creature
woltspace creature rm star # only when no wolt is one
- name: lowercase letters, digits and hyphens. Built-in names (raccoon, wolf, dog, ...) are taken.
- --size: what it behaves like:
otter,beaverorraccoon. - --model HARNESS=MODEL: optional, repeatable. The id must be one the
engine offers (
GET /harnesseslists them). An engine without one uses the size's default. - --role: optional. The default role for a new wolt of this creature.
addnever overwrites: to change a creature,rmit (no wolt may be one) andaddit again.
What assign changes, and when
woltspace creature assign <wolt> <type> changes only the wolt's creature
type. It prints what the wolt keeps:
- Its own pins win. A model or harness set on the wolt itself stays and still applies. Then comes the creature's own model, then the size's default.
- Its role stays. A creature's role is only a default for new wolts.
- Next session. A running session keeps the model and settings it started with. Tell the user the change shows from the wolt's next session.
- A starter site that still shows the old creature's emoji switches to the new one. A site emoji the wolt chose itself stays.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 14d ago First seen · 69 lines · 59 tokens per session scan A bb92238daa17
creatures is a skill published in the GitHub repository jerpint/woltspace (22 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 800 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-28.
creatures compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| creaturesjerpint/woltspace | Skill | 22 | yesterday | MIT | A | 59 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |